Rebyte Documentation
Rebyte runs parallel AI coding agents in the cloud. Describe what you want built, pick an agent, and let it work -- each task gets its own isolated VM with persistent storage, full git integration, and access to your organization's data.
Product Guide
Learn how Rebyte's core components fit together.
Agent Execution
How agents run -- isolated VMs, code agents, skills, and security.
- Agent Execution Overview -- Runtime, agents, and skills
- Projects & Tasks -- How projects, tasks, and VMs relate to each other
- Task Operations -- Create, monitor, and manage coding tasks
- Code Agents -- Claude Code, Gemini CLI, Codex, and Rebyte Code compared
- Security -- Isolation model, network policies, and data handling
Context Lake
Connect your data so agents can query it.
- Context Lake -- Connect your databases, files, and warehouses so agents can query your business data with SQL
- Supported Sources -- Every connector, organized by category
- Access Control -- Permission model and practical examples
Rebyte Cloud
- Rebyte Cloud -- Deploy the apps your agents build to
*.rebyte.prowith zero config
Rebyte API
Automate everything programmatically.
- API Overview -- Endpoints, authentication, and quick start
- Authentication -- API keys and request signing
- Files -- Upload files for your tasks
- Tasks -- Create, list, poll, and follow up on tasks
- Webhooks -- Get notified when tasks complete
FAQ
Common questions and answers: FAQ